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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A lightweight hybrid CNN-LSTM explainable model for ECG-based arrhythmia detection
Negin Alamatsaz, Leyla s Tabatabaei, Mohammadreza Yazdchi, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105884-105884
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 38
Understandable time frame-based biosignal processing
Hamed Rafiei, Mohammad-R. Akbarzadeh-T
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107429-107429
Closed Access
A comparative analysis of CNNs and LSTMs for ECG-based diagnosis of arrythmia and congestive heart failure
Nitish Katal, Hitendra Garg, Bhisham Sharma
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-29
Closed Access
A neural network model based on attention pooling and adaptive multi-level feature fusion for arrhythmia automatic detection
Yushuai Wang, Hao Dong, Haitao Wu, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access
Enhancing single-lead electrocardiogram arrhythmia detection with empirical mode decomposition
Mohamed F. Issa, Ahmed Yousry, Gergely Tuboly, et al.
Neural Computing and Applications (2025)
Closed Access
An innovative study of category incremental learning algorithms for arrhythmia detection
Jianchao Feng, Yujuan Si, Yu Zhang, et al.
Knowledge-Based Systems (2025), pp. 113346-113346
Closed Access
A comparative study of heterogeneous machine learning algorithms for arrhythmia classification using feature selection technique and multi-dimensional datasets
Abhinav Sharma, Sanjay Dhanka, Ankur Kumar, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035209-035209
Closed Access | Times Cited: 4
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals
Lennert Bontinck, Karel Fonteyn, Tom Dhaene, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124775-124775
Closed Access | Times Cited: 4
Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
Jagdeep Rahul, Lakhan Dev Sharma
Computer Science Review (2025) Vol. 56, pp. 100719-100719
Open Access
Research on Multi‐Scale Parallel Joint Optimization CNN for Arrhythmia Diagnosis
Wenping Chen, Huibin Wang, Zhe Chen, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 4-5
Closed Access
Optimizing arrhythmia identification using chaos theory and deep learning analysis
Nabil M. Eldakhly
The Computer Journal (2025)
Closed Access
OCADN: Improving Accuracy in Multi-class Arrhythmia Detection from ECG Signals with a Hyperparameter-Optimized CNN
Satria Mandala, Wisnu Jatmiko, Siti Nurmaini, et al.
IEEE Access (2025) Vol. 13, pp. 34687-34705
Open Access
Advancements in Artificial Intelligence for ECG Signal Analysis and Arrhythmia Detection: A Review
Fatemeh Kazemi Lichaee, Arsalan Salari, Jalil Jalili, et al.
International Journal of Cardiovascular Practice (2024) Vol. 8, Iss. 2
Open Access | Times Cited: 1
Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks
Xiaoyang Wei, Zhiyuan Li, Yanrui Jin, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106422-106422
Closed Access | Times Cited: 1
Classification of ECG Signals Encrypted with CNN Based Autoencoder with LSTM
Merve Akkuş, Murat Karabatak, Ramazan Teki̇n
(2024), pp. 01-06
Closed Access | Times Cited: 1
Brant-X: A Unified Physiological Signal Alignment Framework
D X Zhang, Zhizhang Yuan, Junru Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4155-4166
Open Access | Times Cited: 1
Arrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms
Michele Scarpiniti
Sensors (2024) Vol. 24, Iss. 24, pp. 8043-8043
Open Access | Times Cited: 1
Hybrid convolutional neural network-long short-term memory combined model for arrhythmia classification
Raghavendra Badiger, Prabhakar Manickam
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4204-4204
Open Access
Cardiac Arrhythmia Diagnosis Using Deep Learning: A 1D CNN-GRU Approach with Multiclass SVM and DWT Analysis
D Hepsiba, L. D. Vijay Anand, J Jencia, et al.
(2024), pp. 1-7
Closed Access
Comparative analysis of machine learning algorithms for heart disease prediction
Isha Gupta, Anu Bajaj, Vikas Sharma
International Journal of Hybrid Intelligent Systems (2024), pp. 1-15
Closed Access
Detection of Shockable Arrhythmia from Electrocardiogram signal using Recurrence Quantification Analysis based Deep Convolutional Neural Networks
Saurav Mandal, Anisha Halder Roy, Pulak Mondal
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access
Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study
Sunghan Lee, Jeonghwan Koh, Guangyao Zheng, et al.
Lecture notes in computer science (2024), pp. 288-295
Closed Access
Time for an Explanation: A Mini-Review of Explainable Physio-Behavioural Time-Series Classification
Jordan Schneider, Swathy Satheesan Cheruvalath, Teena Hassan
(2024), pp. 885-889
Closed Access
Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques
William Villegas-Ch, Jaime Govea, Walter Gaibor-Naranjo, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
Lightweight beat score map method for electrocardiogram-based arrhythmia classification
Kyeong–Hwan Lee, Jaewon Lee, Miyoung Shin
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 4, pp. 844-857
Open Access
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